Lu Qi   Ph.D. Candidate Rm 1026, Ho Sin-Hang Engineering Building Dept. of Computer Science and Engineering The Chinese University of Hong Kong Shatin, N.T., Hong Kong Email: qqlu1992 [at] gmail.com

Biography[CV]

I am a Ph.D. candidate in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK) since 2017. My supervisor is Prof. Jiaya Jia. Before that, I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, The Chinese Academy of Sciences in 2017, with the supervision of Prof. Hong Qiao. And I obtained the B.E. degree in Automation and the B.S. dual degree in Financial Mathematics from Shandong University in 2014.

My research interest includes computer vision and deep learning.

Publications[Google Scholar]

• LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
  Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
  Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020
  
• RGB-D Co-attention Network for Semantic Segmentation
  Hao Zhou*, Lu Qi*, Zhaoliang Wan, Hai Huang, Xu Yang.
  15th Asian Conference on Computer Vision, (ACCV), 2020
  
• MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
  Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
  16th European Conference on Computer Vision, (ECCV), 2020
  
• PointINS: Point-based Instance Segmentation
  Lu Qi, Xiangyu Zhang, Yingcong Chen, Yukang Chen, Jian Sun, Jiaya Jia.
  Technical Report
  
• Amodal Instance Segmentation through KINS Dataset
  Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
  
• Sequential Context Encoding for Duplicate Removal
  Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
  Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
  
• Path Aggregation Network for Instance Segmentation
  Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
  Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
  Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  

Competitions

• No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
  
• No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track | slides
  
• No. 2 of COCO 2017 Detection Challenge in Object Detection Track
  
• No. 1 of LSUN'17 Instance Segmentation Challenge
  
• No. 3 of SpaceNet Challenge in Topcoder 2017
• No. 4 of Bike Sharing Demand in Kaggle 2014

Honors & Awards

Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong)	2017-2021
The President Scholarship of Shandong University (highest honor)	2013
Baogang Steel Scholarship (top 0.5%)	2013
Excellent Student in Shandong Province	2013
National Scholarship (thrice)	2011-2013

Research Experiences

• Research Intern | Megvii Technology (Face++), Beijing | June 2019 – Present
  Mentor: Dr. Xiangyu Zhang
  Topic: Object Detection and Instance Segmentation
  
• Research Intern | Youtu Lab, Tencent, Shenzhen | May 2018 – May 2019
  Mentor: Dr. Shu Liu and Dr. XiaoYong Shen
  Topic: Instance Segmentation for Autonomous Driving
  
• Research Intern | SenseTime, Beijing | Nov. 2016 – Oct. 2017
  Mentor: Dr. Jianping Shi
  Topic: Instance Segmentation with RGB Data
  

Teaching

CSCI1120 Introduction to C++	Fall	2019-2020
CSCI2100B Data Structure	Spring	2018-2019
ENGG1100 Introduction to Engineering Design	Fall	2018-2019
CSCI3120 Compile Construction	Spring	2017-2018